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This paper proposes a mathematical formulation of a bi-objective problem to identify the optimal set of solutions for the system configuration. Empirical ...
Jan 16, 2023 · Abstract—Cloud-based services are a current approach for developing large-scale applications with advantages such as.
Jul 18, 2023 · We aim to achieve maximum availability while simultaneously minimizing costs. While defining a multiobjective optimization problem is a ...
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A mathematical formulation of a bi-objective problem to identify the optimal set of solutions for the system configuration to help practitioners to keep ...
In this paper, we first present a bi-objective optimization model for the workflow scheduling problem in VFCC systems with the aim of minimizing both the ...
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Dec 7, 2023 · CAAS can find optimal system configurations with higher availability, between 1 and 2 nines on average, and reduced costs, 6% on average, with ...
Dec 7, 2023 · Our research addresses this challenge by proposing a Cost-Availability Aware Scaling (CAAS) approach that uses multi-objective optimization of availability and ...
Given this, optimization in a cloud-native database should be bi-objective by default: any performance gain must be justified by the potential trade-off in cost ...
In this work, the allocation problem of industrial robot-monitoring workflow is modeled as a latency and cost bi-objective optimization problem.